we need to explore if increasing the number of strategies will yield to decrease of number of cases of covid-19 or not in other meaning is it was useful to increase the banning strategies to decrease the cases. .
There are 1537 rows in the dataset with 17 features ( country, ID, week number, year, year-week, level, region, region_name, population, testing_rate (tests done/population100000), positivity_rate (new cases/tests done 100), cases (new cases), rate_14_day (14-day notification rate of reported COVID-19 cases per 100 000 population), cumulative_count (of cases), deaths, rate_14_day.1 (14-day notification rate of reported deaths per 1 000 000 population), cumulative_count.1 (of deaths), strategy_count (total number of strategies used per week in each country), this data is collected per week for each country during 2020
Around 2.3% of COVID-19 cases died and 97.6% survived
(-1.1086734519537436, 1.1047067839031974, -1.1071276828223413, 1.1062525530345997)
case rate is calcauted as number of new cases divided by population of each country
death rate is calcauted as number of deaths divided by cases of each country
from the graph we see that, Luxembourg has the maximum case rate while finalnad has the minimum, reagarding death rate Greece has the maximum death rate while hungary has the minimu
almost all countries have peakes for positive rate at the beginning of the year or the last of the year such as France, belgium except plonad almost there is noo peak
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from the graphs we can conclude, at the end of the year there is an explosion of cases may be due that the number of strategies decresed before the explosions, an example for that case; Austria and Bulgaria. Some country doesnot have this role, an example, Iceland, the reason may be there is small number of cases regrading this country as shown by graph above.
we can see that decrease number of stragies at some point yeild to increase the cases after that an example Austria, Bulgaria,czechia,....